Result for 107C45CEA60D741AA1109C4C7AD287EECB074EC9

Query result

Key Value
FileName./usr/bin/jpeg2hdf
FileSize336448
MD5059A49E21BA4BD5AF6B340F1FD220646
SHA-1107C45CEA60D741AA1109C4C7AD287EECB074EC9
SHA-25665AB50F873D3241B9100BA05646BA1DC9C8AC2899DD7EECEA9380E51920B1E34
SSDEEP3072:gr33tZhgGrd+A1plu0dnqCYTwCwF/R25nqWGBVQISfFYoS4o173syu/txByQNgZg:gr33iIpluqffF/InXDSL17+/jgHQfNh
TLSHT1C6642B543E2B0247D2916FF0227F53EAAB2A785211B4E4553356A31B27F2FF2601BBC5
hashlookup:parent-total1
hashlookup:trust55

Network graph view

Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD548F9F22527003B5419A32CBF4A4EF1BD
PackageArchppc
PackageDescriptionHDF is a general purpose library and file format for storing scientific data. HDF can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF files according to your needs.
PackageMaintainerKoji
PackageNamehdf
PackageRelease3.fc18
PackageVersion4.2.7
SHA-199FE178421728CEDA9DFDA829DE36BEB98D410FF
SHA-256A87C1F32E97444D154CE82018219BBB83A37A35F7B5F0DC0D05B8A7AF95A9522